LITA Forum 2016

This is how tweets on the #litaforum hashtag break down, and how they look when their words are mapped to the NRC Word-Emotion Association Lexicon. You can also download the raw data and mess around with it yourself.

Code is available on GitHub. Tweets have been gathered using Twitter’s streaming API and the streamR package for R. Data has been recorded at half-hour intervals whenever my laptop has been open since Thursday afternoon, so hopefully there won’t be too many gaps!

Last updated Thursday, November 17, 2016 at 17:41 PM.

Overview

Some basic stats for #litaforum:

  • 10 total tweets
  • 7 unique tweets
  • 3 retweets
  • 8 unique users tweeting

Total Tweets and Users

Unique Tweets and Retweets

Sentiment/Emotion Frequency by Day

Sentiment/Emotion Frequency by Time

Raw Data